CN117454784A - Water gate tide-blocking and waterlogging-draining joint scheduling dimension-reducing method, system and storage medium - Google Patents
Water gate tide-blocking and waterlogging-draining joint scheduling dimension-reducing method, system and storage medium Download PDFInfo
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Abstract
The invention discloses a sluice tide-blocking and waterlogging-draining combined scheduling dimension-reducing method, a sluice tide-blocking and waterlogging combined scheduling dimension-reducing system and a sluice tide-blocking and waterlogging combined scheduling dimension-reducing storage medium. The method comprises the following steps: partitioning the tide gate in the surrounding area; constructing a river network one-dimensional hydrodynamic model; setting scheduling effect monitoring points in each partition, and monitoring the river channel water level; analyzing and sequencing the contribution degree of the single sluice; performing sluice combination according to the sequencing result, performing regulation effect sensitivity analysis, and performing dimension reduction treatment on the sluice number to obtain sluice combination with high water level regulation effect sensitivity in the region; and replace all the floodgates with the same as the key scheduling object to reduce the dimension of the analysis floodgate. According to the invention, the sluice combinations which are most effective in the regulation and control of the flood drainage of the sheet area are found out through contribution degree and sensitivity analysis on a plurality of sluice with hydraulic connection, and are used as research objects of intelligent algorithms such as machine learning and the like, so that the model dimension is reduced, and the convergence and practical application effects of the sluice group joint optimization scheduling intelligent model are improved.
Description
Technical Field
The invention relates to the technical field of emergency disaster prevention, in particular to a sluice tide-blocking and waterlogging-draining joint scheduling dimension-reducing method, a sluice tide-blocking and waterlogging-draining joint scheduling dimension-reducing system and a storage medium.
Background
In estuary areas such as Zhujiang delta, changjiang delta and the like, individual surrounding areas are usually used as basic units for moisture prevention and drainage. The water system in the surrounding area is all around, and is communicated with the outer river in a form of a tide barrier in order to achieve the functions of moisture prevention and drainage. Because the river water in a single surrounding area is tightly connected with water power, when the tidal blocking and waterlogging scheduling of the tidal blocking gates of the surrounding area is carried out, the joint scheduling of a plurality of tidal blocking gates with water power connection is considered at the same time. When the situation that the number of the tidal gates with hydraulic connection in the surrounding area is numerous is met, and intelligent algorithms such as machine learning and the like are adopted to develop the sluice joint optimization scheduling research and practice, a dimension disaster formed by excessively high dimension of a dependent variable can occur, so that the machine learning model is difficult to converge. Considering that in practical application, due to the communication of the water systems in the surrounding area, the drainage target of the surrounding area can be realized only through the scheduling of the key sluice, so that the method is convenient and economical. Therefore, a water gate tidal barrier and drainage combined dispatching dimension reduction technology for the estuary surrounding area is sought, the drainage target in the surrounding area is realized by minimum water gate dispatching, the problem of dimension disaster in the estuary surrounding area tidal barrier and drainage combined dispatching optimization machine learning is solved, and the method has important significance for estuary surrounding area tidal barrier and drainage combined dispatching research and practice.
Chinese patent CN115169803a published at 10 and 11 in 2022 provides a method and system for joint scheduling of water gates in an irrigation area, the method comprising: basic parameters required by scheduling are obtained, wherein the basic parameters comprise the gate safety fall of a throttle valve, a normal operation water level interval, the water diversion water level of a water diversion valve, the water diversion requirement of a branch canal and the minimum operation flow of a water intake of a main canal; constructing a canal system water delivery and distribution model based on the one-dimensional hydrodynamic model; setting scheduling rules according to different gate types based on the obtained basic parameters and the constructed canal system water delivery and distribution model; and simulating the water diversion process of the water intake of the main canal based on the set scheduling rule, and determining the final water diversion process. In the scheme, although the scheduling rules are respectively set according to the different gate types in the aspect of sluice scheduling, the dimension reduction of sluice scheduling can not be realized.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a method, a system and a storage medium for jointly scheduling and dimension reduction of water gate tide and waterlogging.
The first aspect of the invention provides a sluice tide-blocking and waterlogging-draining combined scheduling dimension-reducing method. The method comprises the following steps:
partitioning the tidal barrier in the surrounding area: taking whether the hydraulic connection exists in the river channel or not as a judging standard, and dividing the surrounding area with the hydraulic connection into one area;
constructing a one-dimensional hydrodynamic model of a surrounding area river network considering sluice scheduling;
setting scheduling effect monitoring points in the river channel range influenced by each regional sluice, and monitoring the river channel water level by taking the weighted average value of the water levels of the monitoring points as an evaluation index of the scheduling effect;
analyzing the contribution degree of each sluice to the water level control of drainage in the area of the partition when each sluice is independently opened by adopting the one-dimensional hydrodynamic model of the river network of the surrounding area considering sluice scheduling;
according to the contribution degree, sequencing the contribution degree of the sluice from big to small according to the contribution degree;
combining different water gates according to the contribution degree sequence, performing regulation effect sensitivity analysis on the combined water gate combination, and performing dimension reduction treatment on the number of the water gates according to the sensitivity analysis result to obtain a water gate combination with high water level regulation effect sensitivity in the area;
the sluice combination with high sensitivity of the regional water level regulation effect is used for replacing all the sluice as a key scheduling object, and sluice group joint optimization scheduling for machine learning is used for reducing the dimension of the analysis sluice.
Preferably, the one-dimensional hydrodynamic model of the river network of the surrounding area considering sluice scheduling adopts the san View equation group as a control equation of the one-dimensional model.
Preferably, the system of san fran equations is:
wherein: x is mileage; t is time; z is the water level; b is the water surface width of the water cross section; q is flow; q is the lateral single-width flow, positive values indicate inflow, and negative values indicate outflow; a is the cross-sectional area of water passing; g is gravity acceleration; u is the average flow velocity of the section; beta is a correction coefficient; r is the hydraulic radius; c is the thank you coefficient, c=r 1/6 And n, n is the coefficient of Manning roughness.
Preferably, the scheduling effect monitoring point takes a river channel key section as a monitoring point.
Preferably, the calculation formula of the weighted average value of the water level of each monitoring point is as follows:
in the method, in the process of the invention,a weighted average value of the water levels of all monitoring points; w (W) i The weight of the ith monitoring point; z is Z i The water level of the ith monitoring point; and n is the number of monitoring points.
Preferably, the weight of the ith monitoring point is determined according to the flood safety importance degree of the point.
Preferably, the contribution degree is measured according to the time required by the evaluation index to reach the target value, and when the sluice is opened, the shorter the time required by the evaluation index of the corresponding monitoring point to reach the target value, the greater the contribution degree of the sluice.
Preferably, different sluice combinations are combined according to the contribution degree sequence, the sensitivity analysis of the regulation and control effect is carried out on the sluice combinations after the combination, and the dimension reduction treatment is carried out on the sluice number according to the sensitivity analysis result, specifically:
setting a sluice group for sensitivity analysis: according to the sluice contribution degree sequencing, sluice grouping is carried out, and from the beginning of the largest contribution degree, a new sluice combination is formed by adding one sluice on the basis of the last sluice grouping each time according to the sequence from the large contribution degree to the small contribution degree; the first group is the water gate 1, the second group is the water gate 1 and the water gate 2, the third group is the water gate 1, the water gate 2 and the water gate 3, and so on;
setting a waterlogging situation according to actual conditions, and sequentially testing and recording the change process of a weighted average value of the water level of the monitoring point after each combined sluice is opened by adopting the one-dimensional hydrodynamic model;
drawing the change process of the weighted average value of the water level of the monitoring point after each combined sluice is opened in a two-dimensional coordinate system in the form of a line graph, wherein the X axis is time, and the Y axis is water level;
and searching the minimum quantity of the regulation and control water gates required for realizing the water gate scheduling targets according to the specific target (such as the time requirement for reducing to the specific water level) of the water gate scheduling of the area from the water level change process line diagram after the water gates of each group are started.
The second aspect of the invention provides a sluice tide-blocking and waterlogging joint scheduling dimension-reducing system, which comprises a memory and a processor, wherein the memory comprises a sluice tide-blocking and waterlogging joint scheduling dimension-reducing method program, and the sluice tide-blocking and waterlogging joint scheduling dimension-reducing method program is executed by the processor to realize the steps of the sluice tide-blocking and waterlogging joint scheduling dimension-reducing method according to any one of claims 1 to 8.
A third aspect of the present invention provides a computer readable storage medium, including a sluice tidal-current-blocking and waterlogging joint scheduling dimension reduction method program, where the sluice tidal-current-blocking and waterlogging joint scheduling dimension reduction method program is executed by a processor, to implement the steps of a sluice tidal-current-blocking and waterlogging joint scheduling dimension reduction method according to any one of claims 1 to 8.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that: according to the invention, the sluice combinations which are most effective in the regulation and control of the flood drainage of the sheet area are found out through contribution degree and sensitivity analysis on a plurality of sluice with hydraulic connection, and are used as research objects of intelligent algorithms such as machine learning and the like, so that the model dimension is reduced, and the convergence and practical application effects of the sluice group joint optimization scheduling intelligent model are improved.
Drawings
Fig. 1 is a flowchart of a method for jointly scheduling and dimension reduction in water gate tide and waterlogging according to embodiment 1.
FIG. 2 is a graph showing the results of a zone 2 sluice sensitivity assay.
Fig. 3 is a graph of the water level change process of typical monitoring points before and after dimension reduction.
Fig. 4 is a partial enlarged view of a graph of a typical monitoring point water level change process before and after dimension reduction.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Example 1
As shown in fig. 1, the embodiment discloses a method for jointly scheduling and dimension reduction of water gate tide and waterlogging, which comprises the following steps:
s1: partitioning the tidal barrier in the surrounding area: taking whether the hydraulic connection exists in the river channel or not as a judging standard, and dividing the surrounding area with the hydraulic connection into one area;
s2: constructing a one-dimensional hydrodynamic model of a surrounding area river network considering sluice scheduling;
s3: setting scheduling effect monitoring points in the river channel range influenced by each regional sluice, and monitoring the river channel water level by taking the weighted average value of the water levels of the monitoring points as an evaluation index of the scheduling effect;
s4: analyzing the contribution degree of each sluice to the water level control of drainage in the area of the partition when each sluice is independently opened by adopting the one-dimensional hydrodynamic model of the river network of the surrounding area considering sluice scheduling;
s5: according to the contribution degree, sequencing the contribution degree of the sluice from big to small according to the contribution degree;
s6: combining different water gates according to the contribution degree sequence, performing regulation effect sensitivity analysis on the combined water gate combination, and performing dimension reduction treatment on the number of the water gates according to the sensitivity analysis result to obtain a water gate combination with high water level regulation effect sensitivity in the area;
s7: the sluice combination with high sensitivity of the regional water level regulation effect is used for replacing all the sluice as a key scheduling object, and sluice group joint optimization scheduling for machine learning is used for reducing the dimension of the analysis sluice.
According to the embodiment of the invention, the one-dimensional hydrodynamic model of the surrounding area river network considering sluice scheduling adopts the san Vena equation set as a control equation of the one-dimensional model.
According to an embodiment of the present invention, the system of san View equations is:
wherein: x is mileage; t is time; z is the water level; b is the water surface width of the water cross section; q is flow; q is the lateral single-width flow, positive values indicate inflow, and negative values indicate outflow; a is the cross-sectional area of water passing; g is gravity acceleration; u is the average flow velocity of the section; beta is a correction coefficient; r is the hydraulic radius; c is the thank you coefficient, c=r 1/6 And n, n is the coefficient of Manning roughness.
According to the embodiment of the invention, the scheduling effect monitoring point takes the key section of the river channel as the monitoring point.
It should be noted that, in this embodiment, when the scheduling effect monitoring points and the monitoring items are set in the river range affected by the water gates in each partition, the key section of the river is generally taken as the monitoring point, and the river water level is taken as the monitoring object. The monitoring points should be evenly distributed in the important area of concern of draining waterlogging in this area, can regard weighted average of each monitoring point water level as the evaluation index of dispatch effect. The weight of each monitoring point can be determined according to the flood safety importance degree of the point.
According to the embodiment of the invention, the calculation formula of the weighted average value of the water levels of all monitoring points is as follows:
in the method, in the process of the invention,a weighted average value of the water levels of all monitoring points; w (W) i The weight of the ith monitoring point; z is Z i The water level of the ith monitoring point; and n is the number of monitoring points.
According to the embodiment of the invention, the weight of the ith monitoring point is determined according to the flood safety importance degree of the point.
It should be noted that, the flood safety importance level is a relatively subjective index, and is determined by factors such as population density, economic importance and the like, and the value can be determined by some weight analysis methods (such as a hierarchical analysis method).
According to the embodiment of the invention, the contribution degree is measured according to the time required by the evaluation index to reach the target value, and when the sluice is opened, the shorter the time required by the evaluation index of the corresponding monitoring point to reach the target value, the larger the contribution degree of the sluice.
It should be noted that, in this embodiment, a drainage scenario is set according to actual situations, and the one-dimensional hydrodynamic model of the river network of the surrounding area constructed by S2 is used to analyze the contribution degree of each sluice to the drainage water level control of the sheet area when each sluice is opened independently. The contribution degree is generally measured by the time required for the evaluation index determined in the step S3 to reach the target value, and the shorter the time is, the more obvious the effect of the water gate opening and closing on the water level control of the area is, namely the greater the contribution degree is.
Specifically, under the condition of drainage, the sluice is opened, the water level of the corresponding monitoring point is lowered, the contribution degree is estimated according to the time when the water level of the corresponding monitoring point is lowered to the target water level after the sluice is opened, and the shorter the time is, the larger the contribution degree of the sluice is.
According to the embodiment of the invention, different sluice combinations are combined according to the contribution degree sequence, the sensitivity analysis of the regulation and control effect is carried out on the sluice combinations after the combination, and the dimension reduction treatment is carried out on the sluice number according to the sensitivity analysis result, specifically:
setting a sluice group for sensitivity analysis: according to the sluice contribution degree sequencing, sluice grouping is carried out, and from the beginning of the largest contribution degree, a new sluice combination is formed by adding one sluice on the basis of the last sluice grouping each time according to the sequence from the large contribution degree to the small contribution degree;
for example: and according to the contribution degree of each sluice to water level control, sequencing the sluice in the partition from big to small according to the contribution degree, and respectively giving contribution degree sequencing numbers of 1, 2 and 3 … …. When the sluice grouping is carried out, the sequence numbers are ordered according to the sluice contribution degree, and one sequence number is added from 1 to form a sluice combination each time, namely, the first group is a No. 1 sluice, the second group is a No. 2 sluice, the third group is a No. 1 sluice, a No. 2 sluice, a No. 3 sluice, and the like.
Setting a waterlogging situation according to actual conditions, adopting the one-dimensional hydrodynamic model of the river network in the surrounding area, and sequentially testing and recording the change process of the weighted average value of the water level of the monitoring point set by S3 after each combined sluice is opened;
drawing the change process of the weighted average value of the water level of the monitoring point after each combined sluice is opened in a two-dimensional coordinate system in the form of a line graph, wherein the X axis is time, and the Y axis is water level;
and searching the minimum quantity of the water gates required for realizing the water gate scheduling targets according to the specific target (such as the time requirement for reducing the water gate to the specific water level) of the water gate scheduling in the area in the water level change process line diagram after the water gates of each group are started, and determining the water gate combination with good regulation effect.
As a specific example, to verify the feasibility and effectiveness of the present application, the present embodiment further illustrates the present invention with the creation of a gate pump scheduling scheme for ten thousand hectares in southern sand region, guangzhou, as a specific embodiment. The Sha-Lian-Jie is located in the southwest of New Nansha district in Guangzhou, the north side is lower horizontal drainage, the east side is Dragon cave south water channel, the west side is Hong Ji drainage channel, and the south side faces the sea. The total length of 33 existing rivers in the surrounding area is about 148km, and one to eighteen surges in the sheet area are flood drainage bone dry rivers. The total of 48 water gates are distributed in the sheet area, and are all the tidal gates of the outer river, and the total net width is 637.2m.
S1: and dividing the tidal barrier in the surrounding area by taking whether the water power connection exists in the river channel as a judgment standard.
A total of 9 partitions were divided and the partition results are shown in the following table.
S2: a river network one-dimensional hydrodynamic model considering 33 inland river surges and 48 sluice gates around the sand of ten thousand hectares is constructed, and 523 river sections are arranged in total.
S3: in the river network one-dimensional model, water level monitoring points are arranged at the middle points of 22 sections of main northeast-southwest river channels in the surrounding area, wherein the water level monitoring points comprise north surrounding kick, one kick to twenty-one kick, and the weights of the monitoring points are consistent. Taking the partition 2 most responsible for river channel hydraulic connection as an example, 14 water level monitoring points are shared in the partition 2, and the average water level value of the 14 monitoring points is used as an evaluation index of the scheduling effect.
S4: single sluice contribution analysis. The water level of 20 years around the river is set, the water level of 5 years around the river is set to be low, the one-dimensional hydrodynamic model of the river network of the surrounding area constructed in the step S2 is adopted, and the time required for reducing the average water level of 14 water level monitoring points of the sheet area to be flush with the water level of the outer river when each sluice is independently opened is calculated. The shorter the time, the more obvious the effect of the sluice on the water level control of the sheet area is, namely the greater the contribution degree is.
S5: and according to the contribution degree of each sluice to water level control, sequencing the sluice in the partition from big to small according to the contribution degree, and respectively giving contribution degree sequencing numbers of 1, 2 and 3 … …. The rank of the individual sluice contributions for partition 2 is shown in the table below.
| Ordering of | Sluice name | Ordering of | Sluice name |
| 1 | Thirteen gushing western gate | 17 | Six-surge east gate |
| 2 | Eight gushing western gate | 18 | Five gushing western gate |
| 3 | Two-surge east gate | 19 | Thirteen Yongdong gate |
| 4 | Six-surge western brake | 20 | Seven-gush western gate |
| 5 | Jiuzhong western gate | 21 | Two gushing western gate |
| 6 | Eleven Yongxi gate | 22 | Tri-gushing western gate |
| 7 | Nine-surge east gate | 23 | Yongxi gate |
| 8 | Yongdong gate | 24 | Sizhangxi gate |
| 9 | Douyu east gate | 25 | Ten gushing western gate |
| 10 | Eight-surge east gate | 26 | Li ten-hectare sluice |
| 11 | Eleven Yongdong gate | 27 | Middle powder surge gate |
| 12 | Seven-surge east gate | 28 | Large Oy surge gate |
| 13 | Fourteen Yongdong gate | 29 | Yellow seven surge gate |
| 14 | North boundary river sluice | 30 | Tri-Yongdong gate |
| 15 | Ten-gushing east gate | 31 | Fourteen-gushing western gate |
| 16 | Twelve-surge western brake | 32 | Five-surge east gate |
S6: performing sensitivity analysis on the water level regulation effect of different sluice combinations, and performing dimension reduction treatment on the sluice number according to the sensitivity analysis result. A sluice group for sensitivity analysis is set. And (3) sequencing the serial numbers according to the sluice contribution degree, starting from 1, adding one serial number at a time to form a sluice combination, namely, the first group is a No. 1 sluice, the second group is a No. 2 sluice, the third group is a No. 1 sluice, a No. 2 sluice and a No. 3 sluice, and so on. The group 2 floodgate is divided into 32 groups in total.
And (3) setting a waterlogging situation according to actual conditions, adopting the one-dimensional hydrodynamic model of the river network of the surrounding area constructed in the step (S2), and sequentially testing and recording the change process of the weighted average value of the water level of the monitoring point set in the step (S3) after each combined sluice is opened. The change process of the weighted average value of the water level of the monitoring point after each combined sluice is opened is drawn in a two-dimensional coordinate system in the form of a line graph, wherein the X axis is time, the Y axis is water level, and the curves in fig. 2 are water levels corresponding to groups 1 to 32 from top to bottom in sequence as shown in fig. 2.
As can be seen from the water level change process line diagrams after the water gates of each group are started, under the condition of setting typical water gate drainage, the drainage time of the sheet area is greatly influenced by different water gate combinations, and the drainage time range of the sheet area is 1-40 hours. By optimizing the scheduling, only about 1/2 of the floodgates in the area are scheduled, and the time difference for achieving the same flood drainage effect is only about 1 hour.
Therefore, through sensitivity analysis, the sluice with the front 16 positions of sluice contribution degree sequencing is screened out and used as a sluice combination with higher sensitivity to the water level regulation effect of the area for the tidal barrier joint regulation optimization machine learning.
S7: the sluice combination with higher sensitivity to the water level regulation effect of the area, which is obtained by the analysis in the step S6, is used as a key scheduling object to replace all the sluice, and is used for the sluice group joint optimization scheduling practice based on reinforcement learning, and the comparison scheduling result can find that the sluice after dimension reduction is adopted to perform sluice tide-blocking and waterlogging joint scheduling under the 20-year first meeting standard, and the water level difference of the monitoring points in the surrounding area is within the range of 10cm, as shown in the figures 3-4. The method for reducing the dimension is described, the quantity of the dispatching sluice is greatly reduced while the moisture blocking and waterlogging draining in the surrounding area are ensured, and the operability and the economical efficiency of sluice dispatching are improved.
Example 2
The embodiment discloses a sluice tide-blocking and waterlogging joint scheduling dimension-reducing system, which comprises a memory and a processor, wherein the memory comprises a sluice tide-blocking and waterlogging joint scheduling dimension-reducing method program, and the sluice tide-blocking and waterlogging joint scheduling dimension-reducing method program is executed by the processor to realize the steps of the sluice tide-blocking and waterlogging joint scheduling dimension-reducing method described in the embodiment 1.
Example 3
The embodiment discloses a computer readable storage medium, which comprises a sluice tide-blocking and waterlogging joint scheduling dimension-reducing method program, and when the sluice tide-blocking and waterlogging joint scheduling dimension-reducing method program is executed by a processor, the steps of the sluice tide-blocking and waterlogging joint scheduling dimension-reducing method described in the embodiment 1 are realized.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. The method for jointly scheduling and dimension reduction of water gate tide and waterlogging is characterized by comprising the following steps of:
partitioning the tidal barrier in the surrounding area: taking whether the hydraulic connection exists in the river channel or not as a judging standard, and dividing the surrounding area with the hydraulic connection into one area;
constructing a one-dimensional hydrodynamic model of a surrounding area river network considering sluice scheduling;
setting scheduling effect monitoring points in the river channel range influenced by each regional sluice, and monitoring the river channel water level by taking the weighted average value of the water levels of the monitoring points as an evaluation index of the scheduling effect;
analyzing the contribution degree of each sluice to the water level control of drainage in the area of the partition when each sluice is independently opened by adopting the one-dimensional hydrodynamic model of the river network of the surrounding area considering sluice scheduling;
according to the contribution degree, sequencing the contribution degree of the sluice from big to small according to the contribution degree;
combining different water gates according to the contribution degree sequence, performing regulation effect sensitivity analysis on the combined water gate combination, and performing dimension reduction treatment on the number of the water gates according to the sensitivity analysis result to obtain a water gate combination with high water level regulation effect sensitivity in the area;
the sluice combination with high sensitivity of the regional water level regulation effect is used for replacing all the sluice as a key scheduling object, and sluice group joint optimization scheduling for machine learning is used for reducing the dimension of the analysis sluice.
2. The method for jointly scheduling and reducing the dimension of the floodgate tide and waterlogging according to claim 1, wherein a one-dimensional hydrodynamic model of the river network of the surrounding area taking the floodgate scheduling into consideration adopts a san-View equation set as a control equation of the one-dimensional model.
3. The method for jointly scheduling and reducing dimensions of water gate tide and waterlogging according to claim 2, wherein the san-velam equation set is as follows:
wherein: x is mileage; t is time; z is the water level; b isWater surface width of water cross section; q is flow; q is the lateral single-width flow, positive values indicate inflow, and negative values indicate outflow; a is the cross-sectional area of water passing; g is gravity acceleration; u is the average flow velocity of the section; beta is a correction coefficient; r is the hydraulic radius; c is the thank you coefficient, c=r 1/6 And n, n is the coefficient of Manning roughness.
4. The method for jointly scheduling and reducing the dimension of water gate tide and waterlogging according to claim 3, wherein the scheduling effect monitoring point takes a river channel key section as a monitoring point.
5. The method for jointly scheduling and reducing the dimension of water gate tide and waterlogging according to claim 4, wherein the calculation formula of the weighted average value of the water level of each monitoring point is as follows:
in the method, in the process of the invention,a weighted average value of the water levels of all monitoring points; w (W) i The weight of the ith monitoring point; z is Z i The water level of the ith monitoring point; and n is the number of monitoring points.
6. The method for jointly scheduling and reducing the dimension of water gate tide and waterlogging according to claim 5, wherein the weight of the ith monitoring point is determined according to the flood safety importance level of the point.
7. The method for jointly scheduling and reducing the dimension of a floodgate according to claim 6, wherein the contribution degree is measured according to the time required by the evaluation index to reach the target value, and the shorter the time required by the evaluation index of the corresponding monitoring point to reach the target value after the floodgate is opened, the greater the contribution degree of the floodgate.
8. The method for jointly scheduling and reducing the dimension of the water gate tidal blocking and waterlogging according to claim 7, wherein the method is characterized in that different water gates are combined according to the contribution degree sequence, the sensitivity analysis of the regulation and control effect is carried out on the combined water gate combination, and the dimension reduction treatment is carried out on the number of the water gates according to the sensitivity analysis result, and specifically comprises the following steps:
setting a sluice group for sensitivity analysis: according to the sluice contribution degree sequencing, sluice grouping is carried out, and from the beginning of the largest contribution degree, a new sluice combination is formed by adding one sluice on the basis of the last sluice grouping each time according to the sequence from the large contribution degree to the small contribution degree;
setting a waterlogging situation according to actual conditions, and sequentially testing and recording the change process of a weighted average value of the water level of the monitoring point after each combined sluice is opened by adopting the one-dimensional hydrodynamic model;
drawing the change process of the weighted average value of the water level of the monitoring point after each combined sluice is opened in a two-dimensional coordinate system in the form of a line graph, wherein the X axis is time, and the Y axis is water level;
and searching the minimum number of the regulation and control water gates required for realizing the water gate scheduling target according to the specific water gate scheduling target of the area from the water level change process line diagram after the water gates of each group are started.
9. The sluice tide-blocking and waterlogging-discharging combined dispatching dimension-reducing system is characterized by comprising a memory and a processor, wherein the memory comprises a sluice tide-blocking and waterlogging-discharging combined dispatching dimension-reducing method program, and the sluice tide-blocking and waterlogging-discharging combined dispatching dimension-reducing method program is executed by the processor to realize the steps of the sluice tide-blocking and waterlogging-discharging combined dispatching dimension-reducing method according to any one of claims 1 to 8.
10. A computer readable storage medium, wherein the computer readable storage medium includes a sluice tide and waterlogging joint scheduling dimension reduction method program, and when the sluice tide and waterlogging joint scheduling dimension reduction method program is executed by a processor, the steps of the sluice tide and waterlogging joint scheduling dimension reduction method according to any one of claims 1 to 8 are realized.
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